Rev is where data science leaders and their teams come to learn from each other.

Rev 2 features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.

Leaders in the data science community present solutions for instrumenting workflows across the business with models. They provide frameworks, innovations, and tangible tips that are applicable to data science teams’ daily lives. Topics span high-level questions like how to best structure your data science team to technical challenges like the best way to integrate open source search engines into predictive analytics workflows.

Who is it for?

Rev is a summit for data science leaders, by data science leaders. People who run data science teams require a space to learn, collaborate, and discuss how to elevate data science’s role in organizations. Attendees include data science leaders and their teams, within organizations of all sizes and industries, from high-tech to non-profit.

What to expect

You will learn:

Specific steps the world’s leading model-driven organizations took to elevate data science internally

Best practices, methodologies and technologies for amplifying collaboration across a team of code-first data scientists

How to develop a mature, sustainable data science practice whose impacts are tangible to the business

You will get:

Actionable artifacts you can take back to work and use, like a hiring plan to grow a high-functioning team or a concrete project plan your team can use to tackle a specific use case

Valuable connections with mentors and peers who are paving the way for data science in the community

Meet and collaborate with:

Leaders across industries who share a common belief that data science is (or can be) a key differentiator

Leaders on the path to materialize the business impact of data science

Tomorrow’s chief data scientists who spend their time hands-on-keyboard, leading from the front

Featured sessions

Building on the success of the Data Science Pop-ups, Rev offers an expanded agenda that caters to data science teams and their leaders, fostering greater networking, deeper content around data science strategy and operationalization, and more technical sessions.

Day 1

The morning will kick off at 9:00 a.m. with keynotes from Daniel Kahneman, Michelle Ufford, Nick Elprin and Paco Nathan.

The afternoon will break into three tracks:

Leadership – for those managing data science teams today;

Practitioners – for code-first data scientists looking to build out new capabilities; and

Case Studies – where attendees can hear case studies about data science journeys and projects at leading organizations.

The day’s sessions will conclude with a keynote from Slack’s Josh Wills, followed by a Pints and Poster Sessions networking reception in the exhibition showcase. Then, join our “Data Science in the Senses” party to see how models are transforming every sensory experience.

Case Study

Pushing the Innovation Pedal in a Conservative Industry

Eric Huls, Chief Data & Analytics Officer, Allstate

Practitioners Session

Where's the Data: A New Approach to Social Science Search & Discovery

Julia Lane, Economist & Professor, New York University

Day 2

The morning will start at 9:00 a.m. with keynotes from industry luminaries including Nike’s Tom Kornegay.

The afternoon will break into three tracks:

Leadership – offering best practices for operationalizing data science as an enterprise-grade capability;

The Bias Truth in AI Models

Teddy Benson, Director of Data Integration, Disney

Case Study

Data Science at The New York Times

Chris Wiggins, Chief Data Scientist, The New York Times

Previous Events

We’ve been running our Data Science Pop-up series for years. See our featured talks for insight into the depth and scope of our events. To get a sense for the conversations at Rev, view videos from last year’s sold-out Rev event.